4.7 Article

Au-Fe3O4 nanozyme coupled with CRISPR-Cas12a for sensitive and visual antibiotic resistance diagnosing

Journal

ANALYTICA CHIMICA ACTA
Volume 1251, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2023.341014

Keywords

CRISPR; Cas12a; Colorimetric assay; Antibiotic resistance bacteria; Antibiotic resistance gene; Nanozyme; Pathogen detection

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A speedy, sensitive, accurate, and user-friendly colorimetric assay was developed for the diagnosis of antibiotic resistance. The combination of the peroxidase-like property of Au-Fe3O4 nanozyme and the specific gene identification capability of CRISPR-Cas12a enables the detection of antibiotic resistance genes. This method allows for the flexible and efficient surveillance and control of microbial water quality by capturing and analyzing diagnostic signals with a smartphone.
The accumulation and spread of antibiotic resistance bacteria (ARB) in the environment may accelerate the formation of superbugs and seriously threaten the health of all living beings. The timeliness and accurate diagnosing of antibiotic resistance is essential to controlling the propagation of superbugs in the environment and formulating effective public health management programs. Herein, we developed a speedy, sensitive, ac-curate, and user-friendly colorimetric assay for antibiotic resistance, via a synergistic combination of the peroxidase-like property of the Au-Fe3O4 nanozyme and the specific gene identification capability of the CRISPR-Cas12a. Once the CRISPR-Cas12a system recognizes a target resistance gene, it activates its trans -cleavage activity and subsequently releases the Au-Fe3O4 nanozymes, which oxidizes the 3,3,5,5-tetramethyl-benzidine (TMB) with color change from transparent to blue. The diagnosing signals could be captured and analyzed by a smartphone. This method detected kanamycin-resistance genes, ampicillin-resistance genes, and chloramphenicol-resistance genes by simple operation steps with high sensitivity (<0.1 CFU mu L-1) and speedi-ness (<1 h). This approach may prove easy for the accurate and sensitive diagnosis of the ARGs or ARB in the field, thus surveilling and controlling the microbial water quality flexibly and efficiently.

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